Andrew Katz, PhD · Published in Nature & SAGE
AI-augmented qualitative analysis built on peer-reviewed methodology developed by Dr. Katz. Every theme traced back to evidence. Every codebook defensible under scrutiny.
Engagement Snapshot
Typical timeline
12–48 hours
Engagement size
Multi‑thousand+ datasets
The Challenge
The reality
The alternative
Rigorous thematic analysis at the speed your work demands.
Your Experience
30 minutes, free
We review your dataset, research questions, and timeline. You receive a clear proposal with scope, deliverables, and pricing within 48 hours.
Secure, private processing
Upload your data through our secure portal. Our AI pipeline and analyst review process generates your codebook and thematic analysis within the agreed timeline.
Collaborative delivery
We walk through findings together in a working session. You get revision rounds to ensure the output aligns with your interpretive framework.
Under the Hood
Peer-reviewed and published. Mirrors how trained qualitative researchers actually code — not a black box.
Step 1
Data prepared, normalized, and summarized with full audit logging.
Step 2
Each data point coded against the evolving codebook, preserving source traceability.
Step 3
Codes organized into themes with evidence-linked prevalence and relationship data.
Step 4
Codebooks, narratives, visualizations, and traceability matrices.
Deliverables
What's in my data?
Every theme identified, with prevalence data and relationship mapping. A complete codebook with definitions, supporting quotes, and full evidence trail — ready for NVivo, Atlas.ti, or any QDA tool.
What's driving decisions?
Causal relationships and dependencies surfaced from your data. Not just what people said, but why they think and act the way they do — structured as actionable insight.
What does it mean?
Executive narratives, visualizations, and traceability matrices tied to your research questions. Every claim linked to evidence. Presentation-ready for stakeholders, publication-ready for journals.
Evidence
12–48 hours
Turnaround
500 to 10,000+
Responses
Peer-reviewed
Methodology
100% auditable
Traceability
Our analysis follows a systematic, peer-reviewed pipeline — not a prompt pasted into a chatbot. The process is reproducible and citable.
The entire workflow runs on open-source models. Your data never leaves your environment. No OpenAI. No third-party APIs.
Every codebook is reviewed by a PhD-level qualitative analyst before delivery. Expert judgment augmented by AI — not raw model output.
Every code comes with its definition, the data it was derived from, and supporting evidence. Reviewers and IRBs can trace any finding back to the source.
Methodology Validation
Dr. Katz's analytical pipeline is documented in 3 peer-reviewed papers across Nature and SAGE journals, validating the GATOS workflow against established qualitative research standards.
Methodology Validation Run
In a validation study, we analyzed 3,100 open-ended survey responses across 6 organizational dimensions. The full codebook, theme report, and coded dataset were produced in 4 business days — replacing an estimated 400+ hours of manual coding.
3,100
Responses
4 days
Delivered
400+
Hours saved
Who We Work With
A citable methodology, a defensible codebook, and results faster than your RA timeline allows.
Thousands of patient comments and CAHPS responses analyzed — with privacy-first architecture your compliance team will approve.
Stakeholder input and program evaluations turned into defensible, evidence-linked recommendations.
Employee engagement, customer feedback, and UX research — themes extracted at scale without sacrificing depth.
Engagement Models
Every engagement is scoped to your dataset and research questions. Here's how most teams start.
Scope
Single dataset up to 500 responses
5–7 business days
Best for
Pilot studies, focused surveys, conference paper datasets
Scope
Datasets up to 2,000 responses
10–15 business days
Best for
Research publications, strategic decisions, program evaluations
Scope
Multi-dataset, multi-phase engagements
Scoped to your timeline
Best for
Longitudinal studies, enterprise programs, ongoing advisory
Not sure which fits? Book a free scoping call and we'll recommend the right approach.
Book a Scoping CallAcademic researchers: Ask about research collaboration arrangements.
Schedule a free 30-minute scoping call. We'll review your dataset, your research questions, and your timeline — and tell you honestly whether we're the right fit.
Book Your Free Scoping CallOr email us directly: [email protected]